Data Engineer

Responsibilities

• Design, develop, and manage Enterprise Data Warehouse (EDW) models, including conceptual, logical, physical, and virtual models
• Build and manage real-time streaming pipelines using Apache Kafka, Apache Flink, and Java
• Implement scalable data architectures including Data Vault, Data Lakes, and Data Marts
• Handle real-time ingestion, transformation, and enrichment of large-scale datasets for banking systems
• Recommend and implement suitable storage technologies across RDBMS, NoSQL, and Big Data platforms
• Drive data quality, governance, metadata management, and data lineage initiatives
• Collaborate with business and engineering teams to deliver scalable data solutions and maintain processing SLAs

Requirements

• Strong experience with Apache Flink, Apache Kafka, and Java
• Expertise in Enterprise Data Warehousing (EDW) and Data Modeling
• Hands-on experience with Data Lake architectures and Data Vault modeling
• Advanced SQL skills and experience with both relational and non-relational databases
• Proven ability to build low-latency, high-throughput streaming architectures

Preferred Qualifications

• Experience within the banking or financial services domain
• Background in digital banking, payments, or enterprise data transformation programs
• Exposure to cloud-based data platforms and big data ecosystems
• Experience managing high-volume, mission-critical data systems

About the Company

GSSTech Group is a leader in digital transformation, driving large-scale initiatives within the banking domain to build modern, scalable data ecosystems.